Arduino UNO Q (Bundle)

Description

This bundle includes the Arduino UNO Q (2 GB) and the new book "Arduino UNO Q and AI".

The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board.

Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use.

Simply connect your peripherals and get started – no extra hardware required.

Features

  • Dual-core architecture: Linux MPU + real-time MCU
  • Qualcomm Dragonwing QRB2210 with Debian Linux support
  • STM32U585 microcontroller for deterministic control
  • Runs Arduino sketches via Zephyr OS
  • Ideal for AI, IoT, robotics, and industrial projects

Specifications

Microprocessor (MPU) Qualcomm Dragonwing QRB2210:
Quad-core Arm Cortex-A53 @ 2.0 GHz
Adreno GPU 3D graphics accelerator
2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps
Microcontroller (MCU) STM32U585
Arm Cortex-M33 up to 160 MHz
2 MB flash memory
786 KB SRAM
RAM 2 GB LPDDR4
Power Supply From USB-C connector 5 V max at 3 A
Input Voltage (VIN): 7-24 V
Storage 16 GB eMMC
USB 1× USB-C port with host/device role switching, power role switch and video output
Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antenna
Bluetooth 5.1 with onboard antenna
Interfaces I²C/I³C
SPI
PWM
CAN
UART
PSSI
GPIO
JTAG
ADC
Video Video output support via USB-C
MIPI DSI pins on JMEDIA header
Extra 4× RGB user-controllable LEDs
8×13 Blue LED Matrix
1× Qwiic connector voltage 3V3, I²C
1× User push-button
JCTL: MPU Remote Debug connector
Audio Microphone IN / Headphone OUT / Line OUT on JMISC
MPU Operating System Linux Debian OS with upstream support
Real-time Operating System Arduino Core on Zephyr OS
Containerization Docker and Docker Compose support
Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)
macOS: macOS 11 or later (64-bit)
Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)
Dimensions 68.85 × 53.34 mm (UNO form factor)

Downloads



Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems

Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI.

  • Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor.
  • Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development.
  • Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems.
  • Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment.
  • Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required.
  • Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio.
  • Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware.
  • Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development.



This bundle contains:

Product form

This bundle includes the Arduino UNO Q (2 GB) and the new book "Arduino UNO Q and AI". The Arduino UNO Q is the first... Read more

€ 84,95 € 74,95 (incl. VAT)
Best Price

    Details

    SKU: 21302
    EAN: 021302
    Author: Dogan Ibrahim
    Language: English
    Pages: 235 (Full Color)
    Format: 17 x 24 cm (Paperback)

    Description

    This bundle includes the Arduino UNO Q (2 GB) and the new book "Arduino UNO Q and AI".

    The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board.

    Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use.

    Simply connect your peripherals and get started – no extra hardware required.

    Features

    • Dual-core architecture: Linux MPU + real-time MCU
    • Qualcomm Dragonwing QRB2210 with Debian Linux support
    • STM32U585 microcontroller for deterministic control
    • Runs Arduino sketches via Zephyr OS
    • Ideal for AI, IoT, robotics, and industrial projects

    Specifications

    Microprocessor (MPU) Qualcomm Dragonwing QRB2210:
    Quad-core Arm Cortex-A53 @ 2.0 GHz
    Adreno GPU 3D graphics accelerator
    2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps
    Microcontroller (MCU) STM32U585
    Arm Cortex-M33 up to 160 MHz
    2 MB flash memory
    786 KB SRAM
    RAM 2 GB LPDDR4
    Power Supply From USB-C connector 5 V max at 3 A
    Input Voltage (VIN): 7-24 V
    Storage 16 GB eMMC
    USB 1× USB-C port with host/device role switching, power role switch and video output
    Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antenna
    Bluetooth 5.1 with onboard antenna
    Interfaces I²C/I³C
    SPI
    PWM
    CAN
    UART
    PSSI
    GPIO
    JTAG
    ADC
    Video Video output support via USB-C
    MIPI DSI pins on JMEDIA header
    Extra 4× RGB user-controllable LEDs
    8×13 Blue LED Matrix
    1× Qwiic connector voltage 3V3, I²C
    1× User push-button
    JCTL: MPU Remote Debug connector
    Audio Microphone IN / Headphone OUT / Line OUT on JMISC
    MPU Operating System Linux Debian OS with upstream support
    Real-time Operating System Arduino Core on Zephyr OS
    Containerization Docker and Docker Compose support
    Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)
    macOS: macOS 11 or later (64-bit)
    Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit)
    Dimensions 68.85 × 53.34 mm (UNO form factor)

    Downloads



    Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems

    Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI.

    • Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor.
    • Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development.
    • Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems.
    • Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment.
    • Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required.
    • Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio.
    • Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware.
    • Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development.



    This bundle contains:

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